event
PhD Proposal byErik Reinersten
Primary tabs
Erik Reinertsen
BME PhD Proposal Presentation
Location: Woodruff Memorial Building, Room 4004 (Department of Biomedical Informatics - classroom)
Date: Tue Apr 25th
Time: 3-4 pm EST
Committee members:
- Gari Clifford, DPhil (advisor)
- Shamim Nemati, PhD
- Amit Shah, MD, MSCR
- Eberhard Voit, PhD
- Lee Cooper, PhD
Title: "Signal processing and machine learning for estimating illness severity from physiological and behavioral data"
Abstract: Heart rate and locomotor activity convey information about autonomic nervous system physiology and behavior. Signal processing methods can be applied to these data sources to derive features that differ in patients with mental and/or cardiovascular illness, compared to healthy controls. Machine learning algorithms trained on these features can classify illness, but accurate classification requires addressing factors such as noise, non-stationarity, and time scale in the data. Three studies are proposed to evaluate methods that account for these factors and improve classifier performance in the context of PTSD, schizophrenia, and heart failure.
Groups
Status
- Workflow Status:Published
- Created By:Tatianna Richardson
- Created:04/24/2017
- Modified By:Tatianna Richardson
- Modified:04/24/2017
Categories
Keywords
Target Audience